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GitHub / Rakib-Hasan-Rahad / A-comparative-analysis-on-predicting-song-popularity-using-different-ML-models-for-

Machine learning models are used to predict song popularity by analysing various features of the song, such as tempo, genre, artist, and lyrics. In this project, we aim to compare the performance of different machine learning models for predicting song popularity.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rakib-Hasan-Rahad%2FA-comparative-analysis-on-predicting-song-popularity-using-different-ML-models-for-

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 594 KB
Dependencies parsed at: Pending

Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago

Topics: bracu, cse422, learning, machine, ml, popularity, prediction, song

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